Abstract
Structural capacity evaluation is essential to support the safety assessment and decision-making process of existing building structures after disastrous earthquakes. Current post-earthquake evaluation practices rely more on manual on-site inspections, which are labor-intensive and subjective. A simulation-based capacity evaluation could be a desired alternative when numerical models for these buildings are prior-identified and updated using structural health monitoring data. This study proposes a procedure for identifying the capacity curve and assessing the residual capacity of existing structures using seismic monitoring data. The mass-normalized spectral acceleration-displacement (AD format) relation is first defined in a single-degree-of-freedom system. Considering the post-event deterioration of structural capacity, a data-driven reduction factor for the capacity curve is introduced to quantify the potential structural degradation. With the aid of the updated capacity curve, the residual capacity of the earthquake-damaged structure is then predicted via incremental dynamic analysis. The feasibility and accuracy of the proposed method are analyzed via numerical simulations and further validated using a large-scale shaking table test and a real-world instrumented building. Results show that the proposed method could identify the capacity curve of the existing structure from seismic monitoring data and estimate the hysteresis responses with a favorable agreement. It could provide the residual capacity of the target structure and quantify its capacity reduction, which can informatively facilitate the post-earthquake structural safety management.
Similar content being viewed by others
Data Availability
Some or all of the data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.
References
Shegay AV, Miura K, Fujita K, Tabata Y, Maeda M, Seki M (2023) Evaluation of seismic residual capacity ratio for reinforced concrete structures. Resilient Cities Struct 2:28–45
JBDPA (2001) Standard for seismic evaluation of existing reinforced concrete buildings. Japan Building Disaster Prevention Association, Berlin
Guillier B, Chatelain JL, Tavera H, Perfettini H, Ochoa A, Herrera B (2014) Establishing empirical period formula for RC buildings in Lima, Peru: evidence for the impact of both the 1974 Lima earthquake and the application of the Peruvian seismic code on high-rise buildings. Seismol Res Lett 85:1308–1315
Skolnik D, Lei Y, Yu E, Wallace JW (2019) Identification, model updating, and response prediction of an instrumented 15-story steel-frame building. Earthq Spectra 22:781–802
Han Q, Ma Q, Xu J, Liu M (2021) Structural health monitoring research under varying temperature condition: a review. J Civ Struct Heal Monit 11:149–173
Zhou K, Li Q (2021) Effects of time-variant modal frequencies of high-rise buildings on damping estimation. Earthq Eng Struct Dyn 50:394–414
Zeng J, Xie Y-L, Kim YH, Wang J (2023) Automation in Bayesian operational modal analysis using clustering-based interpretation of stabilization diagram. J Civ Struct Heal Monit 13:443–467
Limongelli MP (2014) Seismic health monitoring of an instrumented multistory building using the interpolation method. Earthq Eng Struct Dyn 43:1581–1602
Roohi M, Hernandez Eric M, Rosowsky D (2021) Reconstructing element-by-element dissipated hysteretic energy in instrumented buildings: application to the Van Nuys Hotel testbed. J Eng Mech 147:04020141
Chou JY, Chang CM (2022) Low-story damage detection of buildings using deep neural network from frequency phase angle differences within a low-frequency band. J Build Eng 55:104692
Oh BK, Jung WC, Park HS (2023) Artificial intelligence-based damage localization method for building structures using correlation of measured structural responses. Eng Appl Artif Intell 121:106019
Catbas FN, Susoy M, Frangopol DM (2008) Structural health monitoring and reliability estimation: Long span truss bridge application with environmental monitoring data. Eng Struct 30:2347–2359
Tarozzi M, Pignagnoli G, Benedetti A (2022) Evaluation of the residual carrying capacity of a large-scale model bridge through frequency shifts. J Civ Struct Heal Monit 12:931–941
Rune Brincker CEV (2015) Introduction to operational modal analysis, pp 1–16
Guo Y, Kwon Dae K, Kareem A (2016) Near-real-time hybrid system identification framework for civil structures with application to Burj Khalifa. J Struct Eng 142:04015132
Zhang Q, Tang XWJ, Yang B (2019) Online automatic structural health assessment of the Shanghai Tower. Smart Struct Syst 24:319–332
Li Z, Park HS, Adeli H (2017) New method for modal identification of super high-rise building structures using discretized synchrosqueezed wavelet and Hilbert transforms. Struct Design Tall Spec Build 26:e1312
Lu J, Xie Q, Zhu W (2023) Seismic damage detection of ultra-high voltage transformer bushings using output-only acceleration responses. J Civ Struct Health Monit
Azimi M, Eslamlou AD, Pekcan G (2020) Data-driven structural health monitoring and damage detection through deep learning: state-of-the-art review. Sensors. https://doi.org/10.3390/s20102778
Zhang T, Xu W, Wang S, Du D, Tang J (2024) Seismic response prediction of a damped structure based on data-driven machine learning methods. Eng Struct 301:117264
Malekloo A, Ozer E, AlHamaydeh M, Girolami M (2021) Machine learning and structural health monitoring overview with emerging technology and high-dimensional data source highlights. Struct Health Monit 21:1906–1955
Asgarieh E, Moaveni B, Barbosa AR, Chatzi E (2017) Nonlinear model calibration of a shear wall building using time and frequency data features. Mech Syst Signal Process 85:236–251
Shan J, Zhang H, Shi W, Lu X (2020) Health monitoring and field-testing of high-rise buildings: a review. Struct Concr 21:1272–1285
Absi GN, Mahadevan S (2016) Multi-fidelity approach to dynamics model calibration. Mech Syst Signal Process 68–69:189–206
Yu X, Li S, Lu D, Tao J (2020) Collapse capacity of inelastic single-degree-of-freedom systems subjected to mainshock-aftershock earthquake sequences. J Earthq Eng 24:803–826
Chopra AK, Goel RK, Chintanapakdee C (2003) Statistics of single-degree-of-freedom estimate of displacement for pushover analysis of buildings. J Struct Eng 129:459–469
Sohn J, Choi I, Kim J (2020) Seismic performance evaluation by demand capacity ratio in vertical irregular buildings. In: The 17th World Conference on Earthquake Engineering 2020, pp 2j-0028
Freeman SA, Gilmartin UM, Searer G (1999) Using strong motion recordings to construct pushover curves. In: Proceedings of 8th Canadian Conference on earthquake engineering
Dowgala J, Irfanoglu A (2016) A Method for extracting building empirical capacity curves from earthquake response data. Earthq Spectra 32:2229–2244
Luna BN (2009) On development of base shear versus roof drift curves using earthquake-response data. Purdue University, Ann Arbor
Pan H, Kusunoki K (2018) A wavelet transform-based capacity curve estimation approach using seismic response data. Struct Control Health Monit 25:e2267
Ji X, Zhuang Y, Miao Z, Cheng Y (2023) Vision-based seismic damage detection and residual capacity assessment for an RC shaking table test structure. Earthq Eng Struct Dyn 52:806–827
Miari M, Jankowski R (2022) Incremental dynamic analysis and fragility assessment of buildings founded on different soil types experiencing structural pounding during earthquakes. Eng Struct 252:113118
Bao X, Zhai C-H, Zhang M-H, Xu L-J (2020) Seismic capacity assessment of postmainshock damaged containment structures using nonlinear incremental dynamic analysis. Struct Design Tall Spec Build 29:e1706
Berry M, Parrish M, Eberhard M (2004) PEER structural performance database user’s manual (version 1.0). University of California, Berkeley
Shan J, Zhang H, Ouyang Y, Shi W (2020) Data-driven damage tracking and hysteresis evaluation of earthquake-excited structures with test validation. Eng Struct 207:110214
Luo H, Paal SG (2018) Machine learning–based backbone curve model of reinforced concrete columns subjected to cyclic loading reversals. J Comput Civ Eng 32:04018042
Lorenzo D, Reuland Y (2019) Assessing the residual capacity of buildings for post-earthquake asset management at urban scale. Valori e Valutazioni
Fajfar P (2000) A nonlinear analysis method for performance-based seismic design. Earthq Spectra 16:573–592
ASCE (2013) Seismic evaluation and retrofit of existing buildings. ASCE/SEI 41-13, American Society of Civil Engineers
McKenna F (2011) OpenSees: a framework for earthquake engineering simulation. Computing in Science & Engineering 13:58–66
Shan J, Wang L, Loong CN, Zhou Z (2023) Rapid seismic performance evaluation of existing frame structures using equivalent SDOF modeling and prior dynamic testing. J Civ Struct Heal Monit 13:749–766
Takeda T, Sozen MA, Nielsen NN (1970) Reinforced concrete response to simulated earthquakes. J Struct Div 96:2557–2573
Fang C, Spencer BF, Xu J, Tan P, Zhou F (2019) Optimization of damped outrigger systems subject to stochastic excitation. Eng Struct 191:280–291
Todorovska MI, Trifunac MD (2008) Impulse response analysis of the Van Nuys 7-storey hotel during 11 earthquakes and earthquake damage detection. Struct Control Health Monit 15:90–116
Shan J, Chen X, Yuan H, Shi W (2015) Interstory drift estimation of nonlinear structure using acceleration measurement with test validation. J Eng Mech 141:04015032
Wang J, Lin C, Yen S (2007) A story damage index of seismically-excited buildings based on modal frequency and mode shape. Eng Struct 29:2143–2157
Funding
This study is sponsored by the National Natural Science Foundation of China (Grant: 52278312), and the Shanghai Qi Zhi Institute (Grant: SQZ202310).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of Interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Wang, L., Shan, J. Post-event evaluation of residual capacity of building structures based on seismic monitoring. J Civil Struct Health Monit (2024). https://doi.org/10.1007/s13349-024-00803-y
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s13349-024-00803-y